Novel torque motor structure parameter optimization method

Abstract

The invention provides a novel torque motor structure parameter optimization method, and belongs to the field of motor intelligent optimization design. A finite element analysis system is used for conducting modeling and torque analysis on introduced structural parameters to replace traditional motor mathematical model analysis and calculation, so that errors of calculating results are small, and the accuracy is high. A weight value changing immune clonal selection algorithm is provided, after a weight value changing mechanism is used, the weight between single objective functions can be continuously adjusted along with operation of the algorithm, wherein the weights of the single objective functions close to the design demand can be changed to be small, and the weights of the single objective functions deviating from the design demand can be continuously increased. Accordingly, the convergence rate of the algorithm is increased, a large amount of unnecessary optimizing time is saved, and the optimization result is obtained more quickly. In addition, the algorithm can effectively keep the diversity of a population, global searching and local searching can be achieved simultaneously, early-maturing of evolution and falling into local minimal values of searching can be prevented, and complex non-linear problems can be solved.

Description

technical field [0001] The invention belongs to the field of intelligent optimization design of motors, and in particular relates to a novel method for optimizing structural parameters of torque motors. Background technique [0002] At present, the calculation and analysis methods of motors mainly include the magnetic circuit analysis method of concentrated parameters, the electromagnetic theory method of distributed parameters, and the finite element analysis method; the magnetic circuit analysis method of concentrated parameters is easy to calculate theoretically, but the calculation error is large. In order to make up for the error However, the introduced correction parameters require a large number of engineering tests to obtain, which is time-consuming and labor-intensive; the theoretical calculation of the distributed parameter electromagnetic field theory method is complex, and it cannot solve the complex boundary conditions and nonlinear factors of materials. [0003...

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Problems solved by technology

But there are still many problems. For example, the optimization result is closely related to the selection of the initial solution; the optimization algorithm often converges to the local extreme point near the initial value, and it is difficult to obtain the ideal global optimal result; Difficult; motor modeling and optimization design are multi-dimensional optimization problems in multi-mode space under the condition of noise. The excellent characteristics of the objective function required by traditional analytical and numerical methods no longer exist. Therefore, traditional optimization methods cannot Eas

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